Operations | Monitoring | ITSM | DevOps | Cloud

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Uptime.com Check Types | How to Build the Ultimate Uptime Monitoring System

How much infrastructure for a domain or application can fail before the customer starts to notice? What about before your productivity is affected? The answer to these questions will help you fully utilize uptime monitoring. Here are just a few examples of services that can be monitored for better piece of mind.

The Mythical 'Average' IT Shop

In health care, doctors know the average man or average woman is in fact, mythical. Everyone has their own unique problems, capabilities and life stories. DNA can be altered by the environment. Even identical twins will have different health histories and different propensities to contract and avoid certain illnesses. Each individual is different. The same can be said of IT — no two shops are ever exactly alike.

Sentry for Good

Errors are expensive; they steal resources allocated for other things and potentially negatively impact revenue and user sentiment. And, for teams comprised of volunteers working in their spare time, errors can take weeks to triage and resolve. So, despite what Google might tell you, Sentry for Good is not merely a solution to your pet’s pesky pheromone problems (although it is clearly also that, if PetSmart’s Google results are any indication).

Features review from 2017

This is the second edition of our features review from the past few years, here we will share some features that were created or updated in 2017. We are currently moving content from our old blog platform so all features mentioned here are not new but it is always good to take a fresh look at things. And as we are always upgrading & enhancing features, some of the items have been edited to reflect the current state.

Cassandra vs. MongoDB vs. Hbase: A Comparison of NoSQL Databases

Unlike traditional SQL databases, NoSQL databases, or “non-SQL” databases, do not store their data in tabular relations. Originally designed for modern web-scale databases, they have found widespread use in present-day big data and real-time web applications. Some of the most commonly used data structures include key-value, wide column, graph, and document stores.

Miles Ahead in the Cloud - Using Sumo Logic for security and compliance challenges

Digital innovation and transformation are critical strategies in keeping pace with competitors and customer needs in today's rapidly changing environment. Many organizations are moving to the cloud to take advantage of the operational and financial gains available in this new environment. But these organizations are also quickly learning that their legacy security and compliance tools, including their SIEMs, are not able to provide the insights they need.

How Grafana Labs is Democratizing Metrics Now

Metrics for all – and all for metrics. At Grafana, we not only strive to give people a “single pane of glass” to unify observability metrics. From the very start, our mission has been to advocate for the democratization of metrics, which is the idea that the paradigm needs to shift between who can store data, why they need to store it, and, ultimately, what they’re able to with it. And Grafana users are a great example of how vast and varied the needs are for data access.

Using machine data analytics to provide the best customer experience - Don't fly blind

Running a modern application in the cloud is a complex task which requires clear, real-time visibility across your entire application stack and infrastructure. With SumoLogic you can fix problems before they negatively affect your customers' experience and make sure your application is running at peak performance.